Work Package 5
Work Package Name: PRISKADAPT, MIS and Data Gaps
Lead Beneficiary: RISA
Objectives: Model social consequences and adaptation measures. Develop the TPRISKADAPT. Develop PRISKADAPT that integrates the above. Implement the above in the cases in the pilots. Develop the MIS. Identify data gaps and discuss approaches to overcome them.
D5.1 – Data Management System
D5.2 – TPRISKADAPT
D5.3 – Social Impacts
D5.4 – PRISKADAPT/MIS v1
D5.1 – Data Management System
This document, Deliverable 5.1 (D5.1), presents the development and implementation of the Data Management System (DMS) within the RISKADAPT project. The DMS, developed as part of Task 5.5, is a comprehensive framework for collecting, storing, managing, and distributing diverse datasets and analytical tool results essential for climate risk assessment and adaptation planning. By ensuring seamless data integration, scalability, and security, the DMS serves as the backbone of the RISKADAPT platform, enabling robust decision-making in climate resilience initiatives.
The DMS is designed with several key objectives in mind. It establishes a modular and scalable architecture that supports efficient data handling and adaptation to emerging project needs. It facilitates interoperability across diverse systems through open standards, universal APIs, and GIS compliance, while also incorporating advanced security measures. Additionally, the DMS integrates an Open Geospatial Consortium (OGC)-compliant GIS platform to enable sophisticated spatial analysis and visualization, critical for effective climate adaptation planning. The development of the DMS follows an Evolutionary Prototyping (EP) methodology, which emphasizes iterative refinement and responsiveness to stakeholder feedback. This approach ensures that the system evolves dynamically to meet changing project requirements and aligns closely with the needs of technical partners and end-users. By incorporating insights from early prototypes and user evaluations, the DMS has been progressively enhanced to support comprehensive data management and integration.
The architecture of the DMS is organized into six modular layers, each serving distinct purposes in the data management workflow. The Ingestion Layer can collect and preprocess data from diverse sources (existing and potential), including climate models, sensors, and project modules. The Storage Layer provides robust solutions for both structured and unstructured data, enabling efficient retrieval and ensuring resilience through data archiving and backup mechanisms. The Processing Layer transforms raw data into actionable insights through analytical workflows, while the Assimilation Layer harmonizes and integrates data outputs, ensuring compatibility with open standards and facilitating API-based sharing. The Observability Layer monitors system health and performance, and the Security Layer enforces access control and ensures data encryption, safeguarding information throughout the system. Key capabilities of the DMS include its OGC-compliant GIS platform, which supports geospatial data integration and analysis, and its universal API, which enables seamless communication between diverse system modules. Additionally, the DMS offers critical business services such as data search and retrieval, secure data sharing, and subscription/notification services that streamline workflows and ensure real-time access to updates and critical insights.
The development and implementation of the DMS provide substantial benefits to the RISKADAPT project by enabling efficient workflows, improving the integration of diverse data sources, and supporting critical functionalities such as climate risk analysis and adaptation planning. It is expected to enhance collaboration among technical partners and stakeholders while setting a benchmark for secure, scalable, and interoperable data management solutions in climate adaptation contexts. The deliverable primarily serves RISKADAPT project partners, particularly technical teams engaged in data integration, storage, and GIS development. It also provides valuable insights for external stakeholders, such as researchers and practitioners working on climate adaptation platforms or similar data-intensive applications.
Looking ahead, the DMS will continue to evolve as a robust and adaptive framework, supporting the RISKADAPT platform’s goal of building climate resilience. Future efforts will focus on the integration of new data, expansion of its functionalities, refinement of the integration processes, and incorporation of insights from future demonstrations and user feedback. The DMS provides a strong foundation for managing complex data interactions, enabling informed and proactive decision-making in the face of changing climate risks.
D5.2 – TPRISKADAPT
Task 5.1, under which TPRISKADAPT was developed, aims to create a versatile technical platform combining climate change loadings, structural data, risk and Life Cycle Assessments (LCA) and Life Cycle Cost (LCC) assessments, as well as adaptation solutions. Starting in Month 11 (M11), Task 5.1 followed a structured design and development methodology, progressing from initial conceptualization to a functional tool. The first version of TPRISKADAPT has been successfully implemented, as explained in this deliverable, with refinement to be made based on input from demonstrations and modules/data updates.
This deliverable plays a pivotal role in advancing the objectives of the broader RISKADAPT project by offering a comprehensive framework for integrating climate and environmental data with structural and risk assessment tools. D5.2 purpose is to document the development and functionality of PRISKADAPT within the RISKADAPT framework, designed to address critical challenges in climate risk assessment and adaptation planning for infrastructure assets. TPRISKADAPT provides a modular and integrated technical platform that integrates structural and climate data, enabling precise analyses of material degradation, structural performance, risk evaluation, engineering adaptation strategies, while incorporating LCA/LCC analyses. Using interactive tools, and advanced data integration, it facilitates comprehensive structural assessments and adaptation planning. A key feature of the module is its authoring tools, which allow users to design and customize workflows through functional flow block diagrams, ensuring modular and dynamic configurations. These capabilities enable users to deploy TPRISKADAPT integrate external data and models, such as Climate Change (CC) forcing, civil engineering data, Building Information Modelling (BIM), and LCA/LCC models results, to create tailored analyses or enhance existing workflows. It also supports critical project goals, such as identifying climate change forcing, assessing asset risks, and developing sustainable and cost-effective adaptation strategies. By providing insights into how infrastructure assets perform under evolving climate conditions, TPRISKADAPT enables a proactive approach to climate adaptation.
The primary beneficiaries of this work include asset owners, infrastructure managers, engineers, and researchers involved in climate risk assessment, resilience-building, and adaptation planning. TPRISKADAPT is tailored to meet the needs of diverse stakeholders aiming initially at the administrators (e.g. asset owners, infrastructure managers, engineers, and researchers) that have access to advanced analytics and operational dashboards for efficient system monitoring and configuration. This design ensures accessibility, usability, and relevance across various user groups.
Key findings highlighted in this deliverable include the development of structured workflows for asset and area management, climatological and environmental data handling, structural and LCA/LCC assessments under both “as-is” (assessing current vulnerabilities and resilience) and “what-if” (exploring impacts of various adaptation strategies) scenarios. The workflows are supported by integrated data sources such as Building Information Modelling (BIM), climatological and environmental data, risk assessment approaches and models, LCA/LCC models results etc. enabling precise and dynamic evaluations. Lessons learned from this development emphasize the critical importance of modularity and flexibility in TPRISKADAPT’s design, which allows administrators to integrate easily their own data and tools as needed.
TPRISKADAPT represents an advancement in climate risk assessment and adaptation planning. By integrating diverse methodologies into a unified framework, it offers a robust design tailored to meet the structural analysis and assessment needs of various assets. Its emphasis on user-driven workflows ensures practical applicability and adaptability across different contexts. This comprehensive approach enhances the resilience of both existing and newly-added assets, while supporting sustainable decision-making in response to climate change. The deliverable establishes a strong foundation for further innovation and broader adoption of the TPRISKADAPT, both within the RISKADAPT project and in wider applications.
D5.3 – Social Impacts
This report presents deliverable 5.3 (Social Impacts) which is the output of task 5.2 and contributes to RISKADAPT objective 5. Work under this task involved the development of a spatial microsimulation model aimed at estimating geographical distributions of relevant socio-economic indicators for regions affected by climate induced events. It also includes the use of Geographical Information Systems (GIS) to map the outputs as well as econometric analysis of the model outputs. This report presents the data, methods and outputs and is accompanied by code in R and the datasets used.
The work presented in this report builds on previous research in the development and application of spatial microsimulation models. The objectives of this deliverable have been fully achieved. In particular, relevant datasets at different geographical levels for the three pilot regions were reviewed and considered. The social survey and sub-regional geographic data that were deemed most suitable were then used to develop and apply spatial microsimulation models. The outputs of these models were then used to demonstrate the potential of the methods and tools that we developed (also given the ‘demonstrator’ nature of this deliverable). To that end these outputs mapped and used to highlight (as illustrative examples) different social impact assessments (for particular chosen sub-groups of the population) and analysed with the use of econometric methods (including regression and spatial statistics).
D5.4 – PRISKADAPT/MIS v1
Climate change (CC) is increasingly exacerbating the frequency and intensity of natural hazards, posing a significant threat to the resilience of our built environments. Disruptions to these critical assets can have far-reaching consequences, hindering the movement of people, goods, and services, and ultimately impacting economic growth and societal well-being. To realize these objectives, a platform (PRISKADAPT) is designed to benefit a wide range of stakeholders involved in climate risk assessment and adaptation. Typical stakeholders may be asset owners, infrastructure managers, climatologists, engineers and researchers.
The PRISKADAPT platform incorporates a suite of modules and datasets designed to address various aspects of CC impact assessment and adaptation:
- TPRISKADAPT: A versatile module combining CC loadings, structural data, risk and LCA/LCC assessments, as well as adaptation solutions. A key feature of the module is its authoring tools, which allow users to design and customize workflows through functional flow block diagrams, ensuring modular and dynamic configurations (presented in D5.2).
- Social impacts: Social impact is evaluated by quantifying changes in social welfare (potential gains or losses) based on the asset’s condition or damage level. (the outcomes of this module are presented in D5.3)
- Total Risk Assessment (TRA): The Total Risk Assessment provides a comprehensive evaluation of both technical and social risks, allowing for the analysis of combined social and technological measures to determine the best risk adaptation solution strategies. This methodology’s modular, interoperable, and adaptable design facilitates the integration of new data and the incorporation of emerging social impacts.
- Model Information System (MIS): The module provides the data necessary to evaluate and compare various adaptation measures. These indicators span environmental, social, economic and technical factors, enabling a detailed assessment of each adaptation strategy’s effectiveness, feasibility, and impact.
This document is related to the PRISKADAPT description defined in Task 5.4, Total Risk Assessment framework defined in Task 5.3 and a Model Information System developed in Task 5.7. Leveraging these comprehensive methodologies, a suite of modules has been developed to achieve the framework’s objectives and address identified gaps.
This comprehensive approach enhances the risk of both existing and newly added assets, enabling them to better withstand the impacts of CC. By integrating climate risk assessments and adaptation strategies, the approach provides a clear framework for identifying vulnerabilities and opportunities for improvement.